Summary of 11 Baseline Teams for Game Theory Analysis of Star Specialization

Georgios Nalbantis published a dataset on figshare in May 2026 to analyze the impact of specialist and generalist stars on organizational performance. The 5.5 KB XLS file contains data used to test a game-theoretical model with basketball data. The results suggest teams with generalist stars outperform those with specialists, and role switching has asymmetric effects on performance.

Use Cases

• Testing game-theoretical models of team performance based on star employee roles.
• Analyzing the performance impact of role switching (specialist to generalist) in organizational settings.
• Comparing the effectiveness of teams with unique stars versus multiple stars.
• Empirically validating hypotheses linking employee specialization literature to sports data.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a focused and manageable dataset.
• Based on a described theoretical framework and empirical test.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Georgios Nalbantis

Collection Method

Likely derived from basketball data to empirically test a game-theoretical model.

Freshness

Last updated 2026-05-28 17:38:11; freshness should be verified.